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E-raamat: Big Data and Artificial Intelligence: 11th International Conference, BDA 2023, Delhi, India, December 7-9, 2023, Proceedings

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This book constitutes the proceedings of the 11th International Conference on Big Data and Artificial Intelligence, BDA 2023, held in Delhi, India, during December 79, 2023.



The17 full papers presented in this volume were carefully reviewed and selected from 67 submissions. The papers are organized in the following topical sections: Keynote Lectures, Artificial Intelligence in Healthcare, Large Language Models, Data Analytics for Low Resource Domains, Artificial Intelligence for Innovative Applications and Potpourri.





 
Keynote Lectures.- Representation Learning for Dialog
Models.- Sparsity, modularity, and structural plasticity in deep neural
networks.- Artificial Intelligence in Healthcare.- Tuberculosis disease
diagnosis using controlled super resolution.- GREAT AI in Medical
Appropriateness and Value-Based-Care.- Large Language Models.- KG-CTG:
Citation Generation through Knowledge Graph-guided Large Language
Models.- SciPhyRAG - Retrieval Augmentation to Improve LLMs on Physics
Q&A.- Revolutionizing High School Physics Education: A Novel
Dataset.- Context-Enhanced Language Models for Generating Multi-Paper
Citations.- GEC-DCL: Grammatical Error Correction Model with Dynamic Context
Learning for Paragraphs & Scholarly Papers.- Data Analytics for Low Resource
Domains.- A Deep Learning Emotion Classification Framework for Low Resource
Languages.- Assessing the Efficacy of Synthetic Data for Enhancing
Machine Translation Models in Low Resource Domains.- Artificial Intelligence
for  Innovative Applications.- Evaluation of Hybrid Quantum Approximate
Inference Methods on Bayesian Networks.- IndoorGNN: A Graph Neural Network
based approach for Indoor Localization using WiFi RSSI.- Ensemble-Based Road
Surface Crack Detection: A Comprehensive Approach.- Potpourri.- Fast
similarity search in large-scale Iris databases using
high-dimensional hashing.- Explaining Finetuned Transformers on Hate Speech
Predictions using Layerwise Relevance Propagation.- Multilingual Speech
Sentiment Recognition using Spiking Neural Networks.- FopLAHD: Federated
optimization using Locally Approximated Hessian Diagonal.- A Review of
Approaches on Facets for Building IT-based Career Guidance Systems.
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